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AB ucs-policy-governor

Huawei Cloud UCS (Universal Cloud Service) policy governance and compliance management skill using hcloud CLI. Use this skill when the user wants to: (1) manage UCS policy instances - create/update/query/delete, (2) manage UCS policy definitions - query/list, (3) enable/disable policies on clusters or fleet groups, (4) check policy enforcement job status, (5) audit fleet compliance and review policy enforcement status. Trigger: user mentions "UCS policy", "UCS 策略", "UCS governance", "UCS 治理", "UCS compliance", "UCS 合规", "policy instance", "策略实例", "policy definition", "策略定义", "enable policy", "启用策略", "disable policy", "禁用策略", "fleet compliance", "舰队合规", "policy audit", "策略审计", "UCS 策略管理", "UCS 合规治理", "policy governance", "策略治理"

ClawHub Agent Skills author: shijingcheng v0.1.0 MIT-0 8 files body ≈ 4 770 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

Huawei Cloud UCS (Universal Cloud Service) policy governance and compliance management skill using hcloud CLI.

As a process B 70/100 · Nearly there — weak spots: running it twice, progress reporting

AnalyzerKubernetesSecuritytype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
A
98/100
safety, quality, tests
Safety 60%
100
Quality 40%
95
Run on models
none yet
Process rating
B
70/100
Nearly there
Progress reporting w 2
0
Running it twice w 4
30
Failures and branches w 10
50
the three weakest of ten parameters · all ten

How to improve

    For the model run — optional
    • Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
    • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

    Guard findings · 0

    ✓ No critical or high findings

    Files scanned: 8. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • note frontmatter-key unknown frontmatter key "id"

    Process rating: all ten parameters 70/100

    • 0Progress reporting. Says nothing while it works
    • 30Running it twice. 35 mutating operations with no state check
    • 50Failures and branches. 0 branches, has a failure section
    • 60Tools and files. Uses tools (bash) that frontmatter does not declare
    • 60Result and completion. Output format stated, no completion criterion
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 70Execution cost. Instruction body is 4770 tokens
    • 85Steps. 68 steps, 1 vague phrases
    • 100When it triggers. States when to use and when not to
    • 100Consistency. Name and required fields are in place
    • low 11 top-level sections: this looks like several domains in one skill

    Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.

    Quality signals

    • +4Description does not say when NOT to use the skill (false activations)
    • +1No license
    • +2Single-language instructions
    • +5Description quotes 15 example trigger phrases
    • +3Description length 736: enough signal without eating the budget
    • +4Structure: 26 headings
    • +3Step-by-step instructions: 68 items
    • +3Output format is stated explicitly
    • +4Has examples (7 code blocks)
    • +4Reference files are cited in the instructions (6 of 6)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 95.

    External checks

    ClawHub: suspicious
    This skill is a legitimate Huawei Cloud UCS governance guide, but it includes broad cloud and cluster-changing operations that are not consistently scoped or warning-gated.
    LLM: suspicious (medium) · 16 Jun 2026